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https://doi.org/10.2139/ssrn.4656685

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inferredcites →https://doi.org/10.1007/s12273-019-0580-yopenalex-extracted
Metamodeling of mean radiant temperature to optimize glass facade design in PMV-based comfort controlled space
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American society of heating, refrigerating and air-conditioning engineers
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Using the fuzzy linear regression method to benchmark the energy efficiency of commercial buildings
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Building energy performance forecasting: A multiple linear regression approach
inferredcites →https://doi.org/10.1016/j.apenergy.2022.118689openalex-extracted
Creating glazed facades performance map based on energy and thermal comfort perspective for office building design strategies in Asian hot-humid climate zone
inferredcites →https://doi.org/10.1016/j.buildenv.2012.04.012openalex-extracted
Proposal of comfort classification indexes suitable for both single environments and whole buildings
inferredcites →https://doi.org/10.1016/j.buildenv.2012.04.021openalex-extracted
Multivariate regression as an energy assessment tool in early building design
inferredcites →https://doi.org/10.1016/j.buildenv.2019.04.027openalex-extracted
Combined use of dynamic building simulation and metamodeling to optimize glass facades for thermal comfort
inferredcites →https://doi.org/10.1016/j.buildenv.2021.108684openalex-extracted
Evaluation of simplified building energy models for urban-scale energy analysis of buildings
inferredcites →https://doi.org/10.1016/j.buildenv.2022.109684openalex-extracted
Identifying relative importance of solar design determinants on office building façade for cooling loads and thermal comfort in hot-humid climates
inferredcites →https://doi.org/10.1016/j.egyr.2020.11.090openalex-extracted
The multiple linear regression models of heat load for air-conditioned room
inferredcites →https://doi.org/10.1016/j.enbuild.2008.04.001openalex-extracted
Development and validation of regression models to predict monthly heating demand for residential buildings
inferredcites →https://doi.org/10.1016/j.enbuild.2009.01.006openalex-extracted
Fast method to predict building heating demand based on the design of experiments
inferredcites →https://doi.org/10.1016/j.enbuild.2012.02.040openalex-extracted
Multiple regression models to predict the annual energy consumption in the Spanish banking sector
inferredcites →https://doi.org/10.1016/j.enbuild.2012.11.019openalex-extracted
Optimum combinations of building envelop energy-saving technologies for office buildings in different climatic regions of China
inferredcites →https://doi.org/10.1016/j.enbuild.2014.07.096openalex-extracted
On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design
inferredcites →https://doi.org/10.1016/j.enbuild.2014.11.063openalex-extracted
Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design
inferredcites →https://doi.org/10.1016/j.enbuild.2014.12.022openalex-extracted
A systematic approach for energy efficient building design factors optimization
inferredcites →https://doi.org/10.1016/j.enbuild.2015.08.041openalex-extracted
An improved office building cooling load prediction model based on multivariable linear regression
inferredcites →https://doi.org/10.1016/j.enbuild.2015.09.073openalex-extracted
Using multiple regression analysis to develop energy consumption indicators for commercial buildings in the U.S.
inferredcites →https://doi.org/10.1016/j.enbuild.2016.10.047openalex-extracted
Sequential early-design guidance for residential single-family buildings using a probabilistic metamodel of energy consumption
inferredcites →https://doi.org/10.1016/j.enbuild.2017.06.072openalex-extracted
A metamodel for building energy performance
inferredcites →https://doi.org/10.1016/j.enbuild.2019.05.043openalex-extracted
Cooling load prediction and optimal operation of HVAC systems using a multiple nonlinear regression model
inferredcites →https://doi.org/10.1016/j.enbuild.2020.110372openalex-extracted
Improving cooling load prediction reliability for HVAC system using Monte-Carlo simulation to deal with uncertainties in input variables
inferredcites →https://doi.org/10.1016/j.enbuild.2021.110809openalex-extracted
A regression-based model for estimating the energy consumption of school facilities in Saudi Arabia
inferredcites →https://doi.org/10.1016/j.enbuild.2021.111574openalex-extracted
An online physical-based multiple linear regression model for building’s hourly cooling load prediction
inferredcites →https://doi.org/10.1016/j.enbuild.2022.112189openalex-extracted
Assessment of operational carbon emission reduction of energy conservation measures for commercial buildings: Model development
inferredcites →https://doi.org/10.1016/j.enconman.2010.06.004openalex-extracted
Multiple regression models for energy use in air-conditioned office buildings in different climates
inferredcites →https://doi.org/10.1016/j.energy.2019.116723openalex-extracted
A three-stage optimization methodology for envelope design of passive house considering energy demand, thermal comfort and cost
inferredcites →https://doi.org/10.1016/j.energy.2021.121509openalex-extracted
Optimizing energy efficiency and thermal comfort in building green retrofit
inferredcites →https://doi.org/10.1016/j.proeng.2015.08.495openalex-extracted
Multi-linear Regression Models to Predict the Annual Energy Consumption of an Office Building with Different Shapes
inferredcites →https://doi.org/10.1016/j.rser.2012.02.049openalex-extracted
A review on the prediction of building energy consumption
inferredcites →https://doi.org/10.1016/j.rser.2016.11.055openalex-extracted
Parametric study of passive design strategies for high-rise residential buildings in hot and humid climates: miscellaneous impact factors
inferredcites →https://doi.org/10.1016/j.rser.2017.02.023openalex-extracted
A review and analysis of regression and machine learning models on commercial building electricity load forecasting
inferredcites →https://doi.org/10.1080/17508975.2022.2049190openalex-extracted
Room energy demand and thermal comfort predictions in early stages of design based on the Machine Learning methods
inferredcites →https://doi.org/10.3390/buildings12030329openalex-extracted
Effect of Architectural Building Design Parameters on Thermal Comfort and Energy Consumption in Higher Education Buildings
inferredcites →https://doi.org/10.3390/buildings12081284openalex-extracted
Building Energy Prediction Models and Related Uncertainties: A Review
inferredcites →https://doi.org/10.3403/30046382openalex-extracted
Ergonomics of the thermal environment. Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria
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